
Machine Learning Engineer (AI hardware)
Oxfordshire, England
Permanent
£60-90k, share options + hybrid working
V-213932
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Chris Wyatt
Machine Learning | Computer Vision
Machine Learning Engineer
I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and the succesful Machine Learning Engineer will utilize their expertise in AI model quantization to deploy, analyse and enhance performance.
Primary responsibilities
Desirable experience
What’s on offer?
I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and the succesful Machine Learning Engineer will utilize their expertise in AI model quantization to deploy, analyse and enhance performance.
Primary responsibilities
- AI model quantization for various fields including LLMs.
- deploy, analyse and enhance the performance of quantized AI models on a hardware processor.
- Stay informed about the latest developments in model quantization, analog computing, and AI acceleration.
- MSc or PhD in Computer Science, EE, Mathematics or similar.
- Minimum 3+ years in industry as an Machine Learning Engineer working on AI model development for hardware processors, with a focus on quantization
- Solid understanding of numerical representations used in machine learning and quantization techniques
- Quantization and model compression tools such as ONNX, TVM
- PyTorch, TensorFlow
Desirable experience
- PhD with relevant publications or patents in AI hardware or AI model quantization
- Model quantization specifically for LLMs
What’s on offer?
- £60-90k DOE
- Share options
- Hybrid working (3+ days on-site per week)
